References
[1]. A.H.M.S. Ula, and A.R. Hasan, (1992). “Design and
implementation of a personal computer based automatic
voltage regulator for a synchronous generator”. IEEE
Transactions on Energy Conversion, Vol. 7, No. 1, pp. 125-
131.
[2]. Kiam AH, Chong G, and Yun L, (2005). “PID control
system analysis, design, and technology”. IEEE Transactions
on Control System Technology, Vol. 13, No. 4, pp. 559-576.
[3]. I. Petras, (1999). “The fractional - order controllers:
Methods for their synthesis and application”. Electrical
Engineering Journal, Vol. 50, No. 9-10, pp. 284-288.
[4]. Jelena Godjevac, (1997). Comparison between PID
and Fuzzy Control. Internal Report 93.361 Lausanne, Swiss.
[5]. Gaddam Mallesham, and Akula Rajani, (2006). “Automatic tuning of PID controller using fuzzy logic”. 8th
International Conference on Development and
Application Systems, Suceava, Romania, pp. 120-127.
[6]. Seul Jung a, and Richard C. Dorf, (1996). “Analytic PIDA Controller Design Technique for a Third Order System”. 35th
Conference on Decision and Control, Kobe, Japan, pp.
2513-2518.
[7]. Vineet Kumar, and A.P. Mittal, (2010). “Parallel fuzzy P +
fuzzy I + fuzzy D controller: Design and performance
evaluation”. International Journal of Automation and
Computing, Vol. 7, No. 4, pp. 463-471.
[8]. D.E. Goldberg, (1989). Genetic Algorithms in Search
Optimization and Machine Learning. Addison Wesley
Publishers, Edmonton.
[9]. Anusorn Sukulin, and Deacha Puangdownreong,
(2012). “A Novel Meta- Heuristic Optimization Algorithm: Current Search”. 11th WSEAS International Conference on
Artificial Intelligence, Knowledge Engineering and Data
Bases (AIKED' 12), Cambridge, pp. 125-130.
[10]. J. Kennedy, and R.C. Eberhart, (1995). “Particle
Swarm Optimization”. IEEE International Conference on
Neural Network, Piscataway, pp. 1942-1948.
[11]. Y. Shi, and R. Eberhart, (1998). “A modified Particle
Swarm Optimizer”. Proceeding of the Congress on
Evolutionary Computation, Anchorage, pp. 69-73.
[12]. D. Puangdownreong, K.N. Areerak, A. Srikaew, S.
Sujitjorn, and P. Totarong, (2002). “System Identification via
Adaptive Tabu Search”. IEEE International Conference on
Industrial Technology, Vol. 2, pp. 915–920.
[13]. D.K. Sambariya, R. Gupta, and R. Prasad, (2016).
“Design of optimal input-output scaling factors based fuzzy
PSS using BAT algorithm”. Engineering Science and
Technology- An International Journal, Vol. 19, No. 2, pp.
991–1002.
[14]. Chang-Chou Hwang, Li-Yang Lyu, Cheng-Tsung Liu,
and Ping-Lun Li, (2008). “Optimal design of an SPM motor
using genetic algorithms and Taguchi method”. IEEE
Transactions on Magnetics, Vol. 44, No. 11, pp. 4325–4328.
[15]. Alberto Colorni, Marco Dorigo, and Vittorio Maniezzo,
(1992). “Distributed optimization by ant colonies”. Processing of the First European Conference on Artificial
Life, pp. 134-142.
[16]. Rashedi E, Nezamabadi-pour H, and Saryazdi S,
(2009). “GSA: A Gravitational Search Algorithm”.
Information Sciences, Vol. 179, pp. 2232-2248.
[17]. D. Karaboga, and B. Basturk, (2007). “A powerful and
efficient algorithm for numeric optimization: Artificial Bee
Colony (ABC) algorithm”. Journal of Global Optimization,
Vol. 39, pp. 459-471.
[18]. M.E.H. Pedersen, and A.J. Chipperfield, (2010).
“Simplifying particle swarm optimization”. Applied Soft
Computing, Vol. 10, pp. 618-628.
[19]. M.E.H. Pedersen, and A.J. Chipperfield, (2008). Local
Unimodal Sampling. Technical Report Number HL0801,
Hvass Laboratories.
[20]. Z. W. Geem, J. H. Kim, and G.V. Loganathan, (2001).
“A new heuristic optimization algorithm: Harmony search”.
Simulation, Vol. 76, No. 2, pp. 60-68.
[21]. P. Yadav, R. Kumar, S. Panda, and C. Chang, (2012).
“An intelligent tuned harmony search algorithm for
optimization”. Information Sciences, Vol. 196, pp. 47-72.
[22]. R.V. Rao, V.J. Savsani, and D.P. Vakharia, (2012).
“Teaching-learning based optimization: A novel
optimization method for continuous non-linear large scale
problems”. Information Science Journal, Vol. 183, pp.1-15.
[23]. R.V. Rao, V.J. Savsani, and D.P. Vakharia, (2011).
“Teaching-learning based optimization: A novel method
for constrained mechanical design optimization
problems”. Computer Aided Design, Vol. 43, No. 3, pp.
305-315.
[24]. Gaing ZL, (2004). “A Particle Swarm Optimization
approach for optimum design of PID controller in AVR
system”. IEEE Transactions on Energy Conversion, Vol. 19,
No. 2, pp. 384-391.
[25]. V. Mukherjee, and S. P. Ghoshal, (2007). “Intelligent
particle swarm optimized fuzzy PID controller for AVR
system”. Electric Power Systems Research, Vol. 77, No. 12,
pp. 1689-1698.
[26]. Anant Oonsivilai, and Padej Pao-La-or, (2008).
“Application of Adaptive Tabu Search for Optimum PID
Controller Tuning AVR System”. WSEAS Transactions on
Power Systems, Vol. 6, No. 3, pp. 495-506.
[27]. A. Chatterjee, V. Mukherjee, and S. P. Ghosal, (2009).
“Velocity relaxed and craziness-based swarm optimized
intelligent PID and PSS controlled AVR system”. Electrical
Power and Energy System, Vol. 31, pp. 323-333.
[28]. H. Gozde, and M.C. Taplamacioglu, (2011).
“Comparative performance analysis of Artificial Bee
Colony algorithm for Automatic Voltage Regulator (AVR)
system”. Journal of the Franklin Institute, Vol. 348, pp. 1927-
1946.
[29]. S. Panda, B.K. Sahu, and P.K. Mohanty, (2012). “Design
and performance analysis of PID controller for an
Automatic Voltage Regulator system using simplified
Particle Swarm Optimization”. Journal of the Franklin
Institute, Vol. 349, pp. 2609-2625.
[30]. Deacha Puangdownreong, (2012). “Application of
Current Search to optimum PIDA controller design”.
Intelligent Control and Automation, Vol. 3, pp. 303-312.
[31]. Serhat Duman, Nuran Yorukeren, and Ismail H. Altas,
(2016). “Gravitational search algorithm for determining
controller parameters in an Automatic Voltage Regulator
system”. Turkish Journal of Electrical Engineering &
Computer Science, Vol. 24, pp. 2387-2400.
[32]. D.K. Sambariya, and D. Paliwal, (2016). “Design of
PIDA controller using BAT algorithm for AVR power system”.
Advances in Energy and Power, Vol. 4, No. 1, pp.1-6.
[33]. J. Fourie, S. Mills, and R. Green, (2010). “Harmony
filter: A robust visual tracking system using the improved
harmony search algorithm”. Image and Vision Computing,
Vol. 28, No. 12, pp. 1702- 1716.
[34]. D. K. Sambariya, and R. Prasad, (2013). “Design of
harmony search algorithm based tuned fuzzy logic power
system stabilizer”. International Review of Electrical Engineering,
Vol. 8, No. 5, pp. 1594-1607.
